A Systematic Mapping Study on Security in Agile Requirements Engineering. - Hugo Villamizar; Marcos Kalinowski; Marx L. Viana; Daniel Méndez Fernández (SEAA, 2018)

An Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications. - Hugo Villamizar; Amadeu Anderlin Neto; Marcos Kalinowski; Alessandro Garcia 001; Daniel Méndez 001 (RE, 2019)

Towards Lean R&D: An Agile Research and Development Approach for Digital Transformation. - Marcos Kalinowski; Solon Tarso Batista; Hélio Lopes 001; Simone D. J. Barbosa; Marcus Poggi; Thuener Silva; Hugo Villamizar; Jacques Chueke; Bianca Rodrigues Teixeira; Juliana Alves Pereira; Bruna Ferreira; Rodrigo Lima; et al. (SEAA, 2020)

Lean R&D: An Agile Research and Development Approach for Digital Transformation. - Marcos Kalinowski; Hélio Lopes 001; Alex Furtado Teixeira; Gabriel da Silva Cardoso; André Kuramoto; Bruno Itagyba; Solon Tarso Batista; Juliana Alves Pereira; Thuener Silva; Jorge Alam Warrak; Marcelo Silva da Costa; Marinho Fischer; et al. (PROFES, 2020)

An efficient approach for reviewing security-related aspects in agile requirements specifications of web applications. - Hugo Villamizar; Marcos Kalinowski; Alessandro F. Garcia 001; Daniel Méndez 001 (Requir. Eng., 2020)

Requirements Engineering for Machine Learning: A Systematic Mapping Study. - Hugo Villamizar; Tatiana Escovedo; Marcos Kalinowski (SEAA, 2021)

Lessons Learned from a Lean R&D Project. - Bianca Rodrigues Teixeira; Bruna Ferreira; André Luiz Brandão de Damasceno; Simone D. J. Barbosa; Cassia Novello; Hugo Villamizar; Marcos Kalinowski; Thuener Silva; Jacques Chueke; Hélio Lopes 001; André Kuramoto; Bruno Itagyba; et al. (ICEIS (2), 2021)

Materials: Requirements Engineering for Machine Learning: A Systematic Mapping Study. - Hugo Villamizar; Tatiana Escovedo; Marcos Kalinowski (Zenodo, 2021)

Towards Perspective-Based Specification of Machine Learning-Enabled Systems. - Hugo Villamizar; Marcos Kalinowski; Hélio Lopes 001 (SEAA, 2022)

A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. - Hugo Villamizar; Marcos Kalinowski; Hélio Lopes 001 (WER, 2022)

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. - Antonio Pedro Santos Alves; Marcos Kalinowski; Görkem Giray; Daniel Méndez 001; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Jürgen Musil; Michael Felderer; et al. (PROFES (1), 2023)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (Zenodo, 2023)

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. - Raphael Cabral; Marcos Kalinowski; Maria Teresa Baldassarre; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001 (CAIN, 2024)

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil. - Antonio Pedro Santos Alves; Marcos Kalinowski; Daniel Méndez 001; Hugo Villamizar; Kelly Azevedo; Tatiana Escovedo; Hélio Lopes 001 (SBES, 2024)

Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach. - Hugo Villamizar; Marcos Kalinowski (SBQS, 2024)

On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems. - Gabriel Busquim; Hugo Villamizar; Maria Julia de Lima; Marcos Kalinowski (SWQD, 2024)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (SWQD, 2024)

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach. - Hugo Villamizar; Marcos Kalinowski; Hélio Lopes 001; Daniel Méndez 001 (J. Syst. Softw., 2024)

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil. - Antonio Pedro Santos Alves; Marcos Kalinowski; Daniel Méndez 001; Hugo Villamizar; Kelly Azevedo; Tatiana Escovedo; Hélio Lopes 001 (Zenodo, 2024)

Experiences Applying Lean R&D in Industry-Academia Collaboration Projects. - Marcos Kalinowski; Lucas Romao; Ariane M. B. Rodrigues; Clarissa Barbosa; Hugo Villamizar; Simone D. J. Barbosa; Hélio Lopes 001 (SWQD, 2025)

Naming the Pain in machine learning-enabled systems engineering. - Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Kelly Azevedo; Tatiana Escovedo; Hugo Villamizar; Hélio Lopes 001; Maria Teresa Baldassarre; Stefan Wagner 001; Stefan Biffl; Jürgen Musil; et al. (Inf. Softw. Technol., 2025)

Agile Management for Machine Learning: A Systematic Mapping Study. - Lucas Romao; Hugo Villamizar; Romeu Oliveira; Silvio Alonso; Marcos Kalinowski (CoRR, 2025)

Automatic Generation of Explainability Requirements and Software Explanations From User Reviews. - Martin Obaidi; Jannik Fischbach; Jakob Droste; Hannah Deters; Marc Herrmann; Jil Klünder; Steffen Krätzig; Hugo Villamizar; Kurt Schneider (CoRR, 2025)

Towards a Framework for Operationalizing the Specification of Trustworthy AI Requirements. - Hugo Villamizar; Daniel Méndez 001; Marcos Kalinowski (CoRR, 2025)